1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization
Yung-Han Ho, Yun Liang, Chia-Hao Kao +1
This paper presents a reinforcement learning (RL) framework that leverages Frank-Wolfe policy optimization to address frame-level bit allocation for HEVC/H.265. Most previous RL-ba…
cs.CV2021
A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265
Yung-Han Ho, Guo-Lun Jin, Yun Liang +2
This paper introduces a dual-critic reinforcement learning (RL) framework to address the problem of frame-level bit allocation in HEVC/H.265. The objective is to minimize the disto…